Cross-Entropy Method in Application to the SIRC Model
Year: 2020
Type: article
Abstract: The study considers the usage of a probabilistic optimization method called Cross-Entropy (CE). This is the version of the Monte Carlo method created by Reuven Rubinstein (1997). It was developed in the context of determining rare events. Here we will present the way in which the CE method can be used for problems of optimization of epidemiological models, and more specifically the optimization of the Susceptible–Infectious–Recovered–Cross-immune (SIRC) model based on the functions supervising the care of specific groups in the model. With the help of weighted sampling, an attempt was made to find the fastest and most accurate version of the algorithm.
Source: Algorithms
DOI: 10.3390/a13110281
Authors: Maria Katarzyna Stachowiak, Krzysztof Józef Szajowski
Institution: Wrocław University of Science and Technology
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,056
OpenAlex ID: W3095539305